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Hadeda Ibises optimization algorithm for microgrid energy management
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DOI：10.1016/j.rineng.2026.110875.png)
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Abstract
En 中文
• A new Hadeda Ibis Optimization (HIO) algorithm is developed. • HIO integrates clustering, adaptive velocity, and dual movement. • Demonstrated strong results on benchmark and constrained problems. • Applied to MG energy management to reduce cost, emissions, and improve reliability.
Keywords:
Hadeda Ibises optimization
Swarm intelligence
Clustering strategy
Constrained optimization
Microgrid energy management
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